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모든 수집 소식(구글 뉴스로 들어온 단건 보도 포함).
Sam Altman Just Made His Most Controversial Statement Yet
Google testing Comic Artifacts for Gemini Notebook
Google이 Gemini Notebook용 만화 아티팩트를 개발 중이며 4가지 시각 스타일과 언어·방향 제어를 제공한다.
See who said yes to your team’s AI agents Discussion | Link
Watch now (33 mins) | How Gemini 4 changed the PM job at Google Labs, why code is no longer a moat, and how Jaclyn uses AI with her kids
Guarding the Gates of Knowledge
소셜 미디어 피드의 절반 가량이 AI가 생성한 조잡한 콘텐츠로 채워지면서 신뢰와 정보 검증에 대한 우려가 제기되고 있다.
Google prepares new AI agent for Antigravity with Voice Mode
Google의 최신 Antigravity 빌드는 실시간 음성 대화와 작업 관리 대시보드를 갖춘 Chief of Staff 에이전트를 가리킨다.
Open-source UI components for your AI agent Discussion | Link
Tech CEOs are embracing the term “superintelligence,” but using it is misleading since it doesn’t prove their AI has reached that level (yet).
LLM-based agentic systems are increasingly combined with CoT reasoning to solve tasks that require accurate reasoning, external knowledge, and multi-step…
Google tests a new Gemini 4 Carbon checkpoint on Arena
Arena에 등장한 새로운 Gemini 4 Carbon은 3D 및 Three.js 작업에서 Argon보다 빠르고 강력하다.
the BIGGEST HACK of all time just started...
Binance에서 약 20분 만에 63억 6천만 달러 규모의 자산이 탈취당하는 대규모 사이버 공격이 발생했다.
With my parents in mind, I put together a quick lesson plan on how to ask ChatGPT for help, improve its responses and know what personal information is…
Prediction errors from video world models are often treated as physical surprise, but they can also reflect appearance, static content, motion, or ordinary…
ODE Policy: Robot Learning via Action Dynamics, Not Actions
대부분의 로봇 정책은 이산적 제어 단계에서 관찰값을 동작값에 매핑하지만, ODE policy는 물리적 운동의 동역학 자체를 학습한다.
Bigger and smaller all at the same time
Grok 5 Could Be The Most Powerful AI Ever Created
From Tool State to Scientific Action: Auditing Decision Provenance in Biomedical Research Agents
BioAgent-DF는 과학 에이전트가 서류 검증 시 근거와 결론의 일치 여부를 평가하고 데이터 이식성을 테스트하는 방법론을 제시한다.
As coding agents achieve increasingly high success rates on software engineering benchmarks, recent efforts have sought to increase task complexity through…
How We Took Over ChatGPT Accounts Parameter Labs describe an exploit they found against ChatGPT's implementation of the artifacts pattern (OpenAI used to call…
Release: datasette-llm 0.1a9 I have some big upgrades to Datasette Agent in the pipeline, but in the meantime here's a tiny user experience improvement to the…
Scientific names increasingly connect papers from different research topics, leaving readers to recover a paper's identity from context.
Coding agents solve repository issues through long sequences of exploration, editing, and validation.
Computer graphics is built on code. Large language model (LLM) agents can now generate graphics code and iteratively refine it through various feedback.
Humans continuously acquire knowledge from carefully crafted materials such as books and tutorial videos, carrying that understanding into future tasks.
Harness optimization can substantially improve LLM agents without modifying model weights, but existing methods primarily optimize response quality.
AI reviewers are increasingly used to assess scientific manuscripts, yet it remains unclear whether their judgments reflect the improvements authors make…
Software development sessions often involve several unfinished tasks rather than one issue carried through to completion.
Long-horizon terminal tasks are used to evaluate and train agents. Human-curated datasets are scarce, so many synthesis methods have emerged.
Heterogeneous embedded boards pair a Linux application processor with a real-time microcontroller (MCU), which suggests moving a task between the two domains…
Anticipating financial outcomes requires synthesizing evolving evidence and reasoning under uncertainty, making deep research systems promising tools for…
Agent decisions depend on empirical relationships that deployment observations reveal and task descriptions alone may leave unresolved.